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Researchers from MIT and Microsoft published a paper in Nature today detailing a new machine learning wrapper that corrects errors in weather models. The tool doubled subseasonal accuracy for AI systems and improved numerical model skill for 91% of pressure, 92% of temperature, and 98% of precipitation targets.
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